Vertical transportation systems embedded on shuffled frog leaping algorithm for manufacturing optimisation problems...

Area of Science:

• Manufacturing Engineering
• Operations Research
• Computational Intelligence

Background:

• Response surface methods are crucial for optimizing manufacturing processes.
• Existing optimization algorithms may not fully address complex multi-response scenarios in machining.

Purpose of the Study:

• To propose and evaluate novel structured mechanisms for vertical transportation systems (VTS).
• To apply a shuffled frog leaping-based approach for optimizing multi-pass turning processes.
• To investigate VTS performance across different operational states.

Main Methods:

• Development of structured mechanisms for vertical transportation systems (VTS).
• Implementation of a shuffled frog leaping algorithm for optimization.
• Simulation of three VTS scenarios: normal velocity, reaching transitional motion, and not reaching transitional motion.
• Simultaneous inspection of multiple responses influenced by machining parameters.

Main Results:

• The proposed VTS mechanisms and shuffled frog leaping approach demonstrated high performance.
• The methods showed superior results compared to other optimization algorithms.
• Effectiveness was validated in two machining optimization problems, including a deep cut design.

Conclusions:

• The integrated VTS and shuffled frog leaping approach offers a powerful tool for manufacturing process optimization.
• This method provides significant improvements for complex machining tasks like deep cut designs.